IMPACT OF SEMAGLUTIDE IN PATIENTS WITH TYPE 2 DIABETES AND MILD COGNITIVE IMPAIRMENT (MCI): clinical effects and genetic predictors of response
Bibliographic record
Abstract
The study analyzed the effect and efficacy of semaglutide on cognitive function and neurophysiological parameters in a sample of patients with type 2 diabetes (T2DM) and mild cognitive impairment (MCI). The primary objective was to evaluate the impact of semaglutide on cognitive performance and on type 2 diabetes-related comorbidities, such as cognitive impairment and depression. A total of 72 patients (both sexes), aged 50 years or older, with T2DM and MCI were enrolled. Recruitment occurred between January 1, 2021, and December 31, 2023, spanning a total of 24 months. Patients were assessed at baseline (T0) and then every six months, for a total of five outpatient visits. Three single nucleotide polymorphisms (SNPs) associated with the risk of developing dementia - rs429358 (ApoE), and rs1467967 and rs2471738 (MAPT) - were investigated in order to identify potential genetic predictors of neurocognitive response to treatment with semglutide. For the neuropsychological assessment, tests such as the Montreal Cognitive Assessment (MoCA), Digit Symbol Substitution Test (DSST), and Beck Depression Inventory (BDI) were used. The results showed a statistically significant improvement in neuropsychological test scores, indicating that semaglutide therapy is associated with enhanced cognitive performance. None of the SNPs under investigation demonstrated the ability to predict the neurocognitive response to treatment with semaglutide. In this study, Semaglutide appeared to have positive effects on T2DM-related comorbidities, helping to slow the progression of depression and impairments in mentalization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".